Preliminary Plots 2
2024-06-24
This document comes after making some corrections - notably adding in the 2020s as a decade, and making some more changes for clarity.
Cod
Original cod data: same as before.
Transformed cod data: same as before.
Original cod data, colored and then split by decade: a VERY clear difference can be seen here, more-so than when the 2010s and 2020s were grouped.
Transformed data, colored and then split by decade: still harder to see the difference in the transformed plot, but this still shows a clearer difference over time than when the 2010s and 2020s are grouped.
Cod Model & Predictions Plot: intriguing that the 2020s are not statistically different here. The slope of the log model appears to be similar in the 1990s and 2020s, so I suppose it makes sense. The general trend of the data is the same, but after analyzing the above plots it is hard to conclude that no difference exists.
##
## Call:
## lm(formula = log(INDWT) ~ log(LENGTH) * decade, data = cod)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.6209 -0.0716 0.0003 0.0714 2.2543
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -11.815967 0.011978 -986.502 < 2e-16 ***
## log(LENGTH) 3.075384 0.003091 994.893 < 2e-16 ***
## decade2000s -0.130925 0.014431 -9.073 < 2e-16 ***
## decade2010s -0.044426 0.016317 -2.723 0.00648 **
## decade2020s 0.025917 0.030663 0.845 0.39799
## log(LENGTH):decade2000s 0.028911 0.003735 7.741 1.01e-14 ***
## log(LENGTH):decade2010s 0.007918 0.004233 1.870 0.06142 .
## log(LENGTH):decade2020s -0.003105 0.008088 -0.384 0.70105
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1333 on 41219 degrees of freedom
## Multiple R-squared: 0.9909, Adjusted R-squared: 0.9909
## F-statistic: 6.427e+05 on 7 and 41219 DF, p-value: < 2.2e-16
Visualizing just the slope of cod: 2000s really throws this off. Interesting pattern.
American Plaice
Original plaice data: same as before.
Transformed plaice data: same as before.
Original plaice data, colored and then split by decade: the relationship definitely appears to be decreasing, especially looking at the split plot.
Transformed plaice data, colored and then split by decade: same trend across all four decades, but the slope/trend appears similar.
American Plaice model & Predictions Plot: all terms are very significant, although I am still surprised to see the 2020s being the least significant based on the visualization of the data.
##
## Call:
## lm(formula = log(INDWT) ~ log(LENGTH) * decade, data = plaice)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.0075 -0.0841 -0.0046 0.0775 6.8670
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -12.687838 0.012475 -1017.045 < 2e-16 ***
## log(LENGTH) 3.281383 0.003755 873.969 < 2e-16 ***
## decade2000s -0.264616 0.016838 -15.715 < 2e-16 ***
## decade2010s -0.090067 0.015509 -5.807 6.39e-09 ***
## decade2020s -0.083047 0.026652 -3.116 0.001834 **
## log(LENGTH):decade2000s 0.060486 0.005102 11.856 < 2e-16 ***
## log(LENGTH):decade2010s 0.023268 0.004684 4.968 6.78e-07 ***
## log(LENGTH):decade2020s 0.029058 0.008059 3.606 0.000312 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1382 on 42952 degrees of freedom
## Multiple R-squared: 0.9872, Adjusted R-squared: 0.9872
## F-statistic: 4.751e+05 on 7 and 42952 DF, p-value: < 2.2e-16
American Plaice slope (b) over time: again, the 2000s estimate is drastically different. Here, it appears the slope is actually increasing. Very interesting result after examining the plots above.
Atlantic Herring
Original Atlantic Herring data: I limited the individual weight at 0.75 kg (which may be too conservative - but it looked like every point above that was an outlier) to control for data errors. (No more 60 kg herring!)
Transformed Atlantic Herring data: same as before.
Original Atlantic Herring data, colored and then split by
decade: the split plot helps examine these differences better. It does
appear that the relationship is changing by decade.
Transformed Atlantic Herring data, colored and then split by
decade: both plots illustrate a difference in the relationship between
the 2020s and other decades.
Atlantic Herring Model & Predictions Plot: the plots show
what appears to be a significant difference, yet the model says
otherwise. I’m intrigued that the 2020s decade is not a significant
factor in the model when the distribution appears to be so different.
Even the 2010s are barely significant.
##
## Call:
## lm(formula = log(INDWT) ~ log(LENGTH) * decade, data = herring)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.5821 -0.0820 0.0066 0.0917 7.4844
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.182e+01 1.547e-02 -763.851 <2e-16 ***
## log(LENGTH) 3.048e+00 4.906e-03 621.312 <2e-16 ***
## decade2000s -1.764e-01 1.847e-02 -9.550 <2e-16 ***
## decade2010s 4.882e-02 2.005e-02 2.435 0.0149 *
## decade2020s -6.756e-02 7.001e-02 -0.965 0.3346
## log(LENGTH):decade2000s 7.793e-02 5.869e-03 13.277 <2e-16 ***
## log(LENGTH):decade2010s -9.772e-04 6.419e-03 -0.152 0.8790
## log(LENGTH):decade2020s 4.076e-02 2.203e-02 1.850 0.0643 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1445 on 102997 degrees of freedom
## Multiple R-squared: 0.9493, Adjusted R-squared: 0.9493
## F-statistic: 2.757e+05 on 7 and 102997 DF, p-value: < 2.2e-16
Atlantic herring slope over time: the slope appears to increase
yet again. Like other species, it peaks in the 2000s.
Spiny Dogfish
Original spiny dogfish data: same as before.
Transformed spiny dogfish data: same as before.
Original spiny dogfish data, colored and then split by decade:
it looks very different, especially in the 2020s.
Transformed spiny dogfish data, colored and then split by decade: the slopes do appear to be very similar.
Spiny dogfish Model & Predictions Plot: Finally! Results make
sense!
##
## Call:
## lm(formula = log(INDWT) ~ log(LENGTH) * decade, data = dogfish)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.0777 -0.0921 -0.0037 0.0882 1.6834
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -12.966530 0.012603 -1028.810 <2e-16 ***
## log(LENGTH) 3.124006 0.002998 1041.901 <2e-16 ***
## decade2000s -0.231606 0.019279 -12.013 <2e-16 ***
## decade2010s 0.017300 0.021280 0.813 0.416
## decade2020s 0.434289 0.041593 10.441 <2e-16 ***
## log(LENGTH):decade2000s 0.055430 0.004563 12.149 <2e-16 ***
## log(LENGTH):decade2010s -0.005471 0.005111 -1.070 0.284
## log(LENGTH):decade2020s -0.112613 0.009994 -11.268 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1354 on 63041 degrees of freedom
## Multiple R-squared: 0.9768, Adjusted R-squared: 0.9768
## F-statistic: 3.786e+05 on 7 and 63041 DF, p-value: < 2.2e-16
Spiny dogfish slope (b) through time: very significant decrease is shown - helpful for the hypothesis that equilibrium fish will be most impacted.
b Table and All-species figure
As we can see, there is great variability to what changes in b are occurring by species.
## 1990s 2000s 2010s 2020s
## Cod 3.075384 3.104295 3.083302 3.072278
## American Plaice 3.281383 3.341870 3.304652 3.310441
## Atlantic Herring 3.048369 3.126295 3.047392 3.089132
## Spiny Dogfish 3.124006 3.179436 3.118535 3.011393
I got curious and did some extra analyses. I constructed a plot based on all the species from Kathy’s paper whose growth pattern changed such that they were larger at lower ages in the 2010s compared to 1970-2009, but eventually plateaued to a smaller size.
## Warning: Using an external vector in selections was deprecated in tidyselect 1.1.0.
## ℹ Please use `all_of()` or `any_of()` instead.
## # Was:
## data %>% select(decades)
##
## # Now:
## data %>% select(all_of(decades))
##
## See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Looking only from the 1990s to 2020s:
We see that some have a decreasing relationship, some have an increasing relationship, and some stay about the same.
I also recalculated the parameters for all species in the survey: here’s the dataframe. Most had little data so the results aren’t very interesting, and I did not account for errors in measurement with any of these species yet (i.e. the 60 kg herring is included in this model, and I’m sure there are plenty more errors like it). I might try to clean this up a bit, maybe filter by sex/season like the Wigley paper did, but I think looking at the spatial distribution differences first would be most interesting.
## 1990s 2000s 2010s 2020s
## ATLANTIC.MACKEREL 3.283855 3.33106031 3.3268026 3.309553
## SPINY.DOGFISH 3.124006 3.17943560 3.1185347 3.011393
## ATLANTIC.HERRING 3.048610 3.12629537 3.0353292 3.087207
## WINTER.SKATE 3.293934 3.29828827 3.2032745 3.239688
## LITTLE.SKATE 3.122496 3.13661569 3.0787447 3.166286
## YELLOWTAIL.FLOUNDER 3.163118 3.11504977 3.0598302 3.102599
## WINTER.FLOUNDER 3.090862 3.12102909 3.0657091 3.086570
## GOOSEFISH 2.918134 2.94083895 2.9263218 2.929039
## ATLANTIC.COD 3.075384 3.10429498 3.0833016 3.072278
## RED.HAKE 3.065499 3.02602298 3.1448118 3.150626
## FOURSPOT.FLOUNDER 3.189653 3.09985286 3.1955612 3.260386
## WINDOWPANE 2.949491 2.96088411 3.0418203 3.115217
## LONGHORN.SCULPIN 3.049577 3.04661745 3.0643988 3.074318
## OCEAN.POUT 3.305108 3.33305323 3.2292302 3.240439
## SEA.RAVEN 3.164890 3.18061505 3.1303513 3.132517
## SILVER.HAKE 3.091245 3.07218276 3.1950228 3.186152
## SUMMER.FLOUNDER 3.212481 3.22033530 3.2515863 3.231941
## CONGER.EEL NA 3.61795168 3.1753913 NA
## WHITE.HAKE 3.191919 3.23071141 3.1946986 3.187311
## WITCH.FLOUNDER 3.237782 3.31573893 3.3033729 3.320195
## BUTTERFISH 2.944683 2.92818659 3.1808411 3.238162
## NORTHERN.SEAROBIN 3.473774 2.97749190 3.0930224 3.245510
## HADDOCK 3.084966 3.10296536 3.0465607 3.076590
## SPOTTED.HAKE 3.109046 3.11048826 3.1472664 3.084557
## AMERICAN.PLAICE 3.281383 3.34186964 3.3046519 3.310441
## ATLANTIC.WOLFFISH 2.959178 3.05273862 3.0609891 2.970797
## POLLOCK 3.110185 3.09999957 3.0362894 3.082266
## ACADIAN.REDFISH 3.199199 3.24042898 3.1718437 3.199839
## THORNY.SKATE 3.097384 3.18397790 3.1293802 3.183423
## CUSK 3.178071 3.28601545 3.2076708 3.164554
## ATLANTIC.HALIBUT 3.217904 3.22775200 3.2205579 3.186155
## BLUEFISH 3.038712 3.09059627 3.0085838 3.160458
## SMOOTH.DOGFISH 3.025976 3.07389594 3.1234550 3.126464
## WEAKFISH 2.966162 2.88431864 3.0406686 3.059246
## BLACK.SEA.BASS 3.030396 3.02977156 2.9638899 2.920127
## SMOOTH.SKATE 3.110968 3.12581643 3.0697001 3.078911
## ATLANTIC.TORPEDO 3.505302 3.20789991 2.9642978 2.936743
## SCUP 3.138201 3.16411762 3.1037893 3.131366
## CLEARNOSE.SKATE 3.423513 3.32323282 3.2352800 3.287694
## SPANISH.MACKEREL 2.934920 3.20069457 NA NA
## ATLANTIC.BONITO 3.543420 NA NA NA
## SOUTHERN.KINGFISH 3.449309 1.67840462 NA NA
## ATLANTIC.CROAKER 3.092379 3.14964602 3.0931774 3.023519
## SPOT 3.208499 3.17147343 3.2248241 3.319154
## INSHORE.LIZARDFISH NA NA NA NA
## NORTHERN.KINGFISH 3.278500 3.20691127 3.1085396 2.741088
## OFFSHORE.LIZARDFISH 4.140470 NA NA NA
## ROSETTE.SKATE 3.002309 3.11019911 3.0981184 3.172099
## AMERICAN.SHAD 3.222414 3.35610604 3.1961873 3.209589
## GULF.STREAM.FLOUNDER NA 2.88034511 3.0671938 NA
## ATLANTIC.SPADEFISH 2.937982 NA NA NA
## VERMILION.SNAPPER 3.010630 3.23303992 NA NA
## STRIPED.BONITO 2.326970 NA NA NA
## STRIPED.BASS 3.048214 3.01672351 3.0424562 3.035492
## COBIA 3.486817 3.77863845 3.4842028 NA
## KING.MACKEREL 2.828970 NA NA NA
## GREATER.AMBERJACK 2.722144 2.80991510 NA NA
## ATLANTIC.SHARPNOSE.SHARK 3.010156 3.10060544 3.2623206 3.034857
## BUCKLER.DORY 3.005461 2.87328868 2.8588892 2.888310
## BLACKBELLY.ROSEFISH 3.051469 3.06948143 3.0978552 3.020806
## ALEWIFE 3.199091 3.20757971 3.1751822 NA
## LONGFIN.SQUID 2.130435 2.24959429 2.1647183 2.189130
## NORTHERN.SHORTFIN.SQUID 2.734768 2.78605743 2.6244779 2.726679
## BLUEBACK.HERRING 3.361994 3.47706838 3.4495369 3.420902
## NORTHERN.SAND.LANCE 2.851421 NA NA NA
## CUNNER 3.081500 3.26248729 3.1959011 NA
## OFFSHORE.HAKE 3.132338 3.10445697 3.0506848 3.070232
## RED.SNAPPER NA NA NA NA
## CHAIN.DOGFISH 3.139791 3.41340146 NA NA
## BARNDOOR.SKATE 3.286356 3.23197011 3.2838549 3.262893
## LING.UNCL 1.370582 2.57241200 NA NA
## GREENLAND.HALIBUT 3.452309 3.19007220 NA NA
## ATLANTIC.STURGEON 3.454748 3.12081304 3.0673407 3.424869
## BLUNTNOSE.STINGRAY 3.193317 3.19554329 2.9102065 3.310253
## BULLNOSE.RAY 3.293345 3.22290283 3.0979414 3.158389
## SANDBAR.SHARK 3.170576 3.29167175 3.1245147 2.632805
## SPINY.BUTTERFLY.RAY 3.198987 3.11019203 3.1365739 2.985980
## ROUGHTAIL.STINGRAY 3.028964 3.05472064 3.0608238 2.812824
## COWNOSE.RAY 3.257297 3.14716827 3.1221014 3.222861
## SMOOTH.BUTTERFLY.RAY 3.074180 3.03473593 3.0894835 NA
## DUSKY.FLOUNDER 2.985261 3.49728232 NA NA
## ATLANTIC.ANGEL.SHARK 3.101384 3.00778852 2.9640969 2.961223
## BEARDFISH NA 3.14729474 NA NA
## LOGGERHEAD.SEATURTLE 2.046367 2.86287718 2.9442068 0.709675
## SOUTHERN.STINGRAY 3.142792 3.35646479 3.1920056 2.274674
## DUSKY.SHARK 3.166228 3.05842584 NA NA
## ROUND.HERRING 2.964529 NA NA NA
## NIGHT.SHARK 5.642450 NA NA NA
## NA. NA NA NA NA
## MACKEREL.SCAD 3.327953 4.63573517 NA NA
## SAND.TIGER 3.292664 3.24428772 3.3162804 3.303358
## ATLANTIC.THREAD.HERRING 3.724175 NA NA NA
## SPANISH.SARDINE 3.146337 NA NA NA
## TILEFISH 3.161095 3.10659281 3.0844505 3.076432
## SPOTFIN.DRAGONET 3.442035 1.13740053 NA NA
## LONGFIN.HAKE NA 3.35251285 NA NA
## FAWN.CUSK.EEL 3.235921 3.00454469 2.8572348 NA
## FOURBEARD.ROCKLING 3.941901 3.29979226 3.2112953 NA
## RED.DRUM 3.341661 3.27973866 NA NA
## SHARK.UNCL -1.527124 7.80168719 NA NA
## TAUTOG 3.044322 3.12354287 2.8078328 3.102022
## AMERICAN.LOBSTER NA 3.01170146 2.9832043 2.949543
## HICKORY.SHAD NA 2.98529533 NA NA
## LANTERNFISH.UNCL NA 1.37458001 NA NA
## JONAH.CRAB NA 2.96606894 2.6431030 NA
## SNAKEBLENNY NA 4.07149347 NA NA
## RED.DEEPSEA.CRAB NA 3.01689607 NA NA
## BARRACUDINA.UNCL NA 3.91474837 NA NA
## ATLANTIC.ARGENTINE NA 3.49401982 NA NA
## GRENADIER.UNCL NA 3.00627546 NA NA
## ATLANTIC.ROCK.CRAB NA 2.94917455 NA NA
## SHORTHORN.SCULPIN NA NA NA NA
## ALLIGATORFISH NA 2.00471488 NA NA
## UNKNOWN.01 NA 2.53534591 1.2428405 NA
## WHITE.BARRACUDINA NA NA NA NA
## NORTHERN.STONE.CRAB NA 1.97576748 NA NA
## SNOW.CRAB NA 1.59843871 NA NA
## RUPPELL.S.ABRALIA NA NA NA NA
## ATLANTIC.MENHADEN NA 3.14707587 3.0108285 2.589626
## STRIPED.SEAROBIN NA 3.03920288 3.0512448 3.082893
## WAVED.WHELK NA 2.74167864 NA NA
## NORTHERN.HORSEMUSSEL NA 2.34770943 NA NA
## VIPERFISH NA 3.50585070 NA NA
## WRYMOUTH NA NA NA NA
## GRUBBY NA 2.60687956 NA NA
## ATLANTIC.SAURY NA NA NA NA
## BLACKFIN.GOOSEFISH NA 3.02541428 3.3989936 NA
## DEEPBODY.BOARFISH NA 2.72280525 NA NA
## CUSK.EEL.UNCL NA 3.09755217 NA NA
## HORSESHOE.CRAB NA 4.26070759 NA NA
## CONGER.EEL.UNCL NA 3.28931074 3.5025086 NA
## ROUGHBACK.BATFISH NA NA NA NA
## SAND.PERCH NA NA NA NA
## TOMTATE NA NA NA NA
## MORAY.UNCL NA NA NA NA
## SEA.SCALLOP NA 3.35337681 3.1910082 2.982643
## SEA.LAMPREY NA NA NA NA
## UNKNOWN.02 NA 2.42889517 NA NA
## SCORPIONFISH.AND.ROCKFISH.UNCL NA 3.04372687 2.2104669 NA
## GRAY.TRIGGERFISH NA 2.80777332 NA NA
## WARSAW.GROUPER NA 2.43668701 NA NA
## COARSEHAND.LADY.CRAB NA 4.00749452 NA NA
## LADY.CRAB NA 2.87557934 NA NA
## BLUELINE.TILEFISH NA 3.19645495 NA NA
## SINGLESPOT.FROGFISH NA NA NA NA
## BLACKMOUTH.BASS NA NA NA NA
## MOUSTACHE.SCULPIN NA NA 2.9195123 NA
## ATLANTIC.HAGFISH NA 2.74034439 NA NA
## WEITZMANS.PEARLSIDES NA -2.85133801 NA NA
## ARMORED.SEAROBIN NA 2.95142875 NA NA
## SNAKE.MACKEREL.UNCL NA 0.44559858 NA NA
## SPIDER.CRAB.UNCL NA 1.37595689 NA NA
## SMALLMOUTH.FLOUNDER NA 3.04228250 3.1210169 NA
## FLOUNDER.UNCL NA NA NA NA
## SKATE.UNCL NA 3.48427612 NA NA
## DEEPWATER.FLOUNDER NA 0.03081747 NA NA
## SHORTNOSE.GREENEYE NA 2.19241680 NA NA
## STREAMER.BASS NA NA NA NA
## BANDED.RUDDERFISH NA 2.52767786 NA NA
## BLUE.RUNNER NA NA NA NA
## ATLANTIC.BATFISH NA 3.76937598 NA NA
## TONGUEFISH.UNCL NA 3.70827296 NA NA
## HATCHETFISH.UNCL NA 2.24017032 NA NA
## SNAKE.EEL.UNCL NA 3.75777648 NA NA
## ROCK.GUNNEL NA NA NA NA
## STRIATED.ARGENTINE NA 3.26198301 NA NA
## MARLIN.SPIKE NA NA NA NA
## EELPOUT.UNCL NA NA NA NA
## KEELCHEEK.BASS NA 2.35103894 NA NA
## SLENDER.SNIPE.EEL NA 1.53260556 NA NA
## MORA.UNCL NA 2.62426305 NA NA
## WOLF.EELPOUT NA NA NA NA
## SIMONYS.FROSTFISH NA 0.07976012 NA NA
## SILVER.RAG NA NA NA NA
## LONGSPINE.SNIPEFISH NA NA NA NA
## YELLOWFIN.BASS NA 2.87874931 NA NA
## RED.BARBIER NA 2.69496458 NA NA
## THRESHER.SHARK NA 1.46734145 0.7757240 NA
## BLUESPOTTED.CORNETFISH NA NA NA NA
## SHEEPSHEAD NA 3.42756789 NA NA
## NORTHERN.STARGAZER NA NA NA NA
## ROUGH.SCAD NA 3.24622182 NA NA
## CHUB.MACKEREL NA 3.72564042 NA NA
## ROUND.SCAD NA 3.70675614 NA NA
## SILVER.SEATROUT NA 3.90356221 NA NA
## DWARF.SAND.PERCH NA NA NA NA
## BIGEYE NA 3.24844830 NA NA
## FLYING.GURNARD NA NA NA NA
## RED.GOATFISH NA NA NA NA
## SAND.DIVER NA NA NA NA
## ATLANTIC.MIDSHIPMAN NA NA NA NA
## TATTLER NA 1.78151761 NA NA
## SHORT.BIGEYE NA 0.73088857 NA NA
## CUBBYU NA 3.01584286 NA NA
## BROAD.FLOUNDER NA NA NA NA
## UNCLASSIFIED.FISH NA 1.64657699 NA NA
## BANK.SEA.BASS NA NA NA NA
## BEARDLESS.CODLING NA NA NA NA
## RED.DORY NA NA NA NA
## MARGINED.SNAKE.EEL NA NA NA NA
## LONGNOSE.GREENEYE NA 3.60562661 NA NA
## GOBY.UNCL NA NA NA NA
## SWIMMING.CRAB.UNCL NA 4.91373456 NA NA
## TWOSPOT.FLOUNDER NA NA NA NA
## REMORA NA NA NA NA
## NORTHERN.PUFFER NA 2.82287725 NA NA
## ALMACO.JACK NA NA 2.4446699 NA
## RIGHTEYE.FLOUNDER.UNCL NA 3.80178402 NA NA
## LUMPFISH NA 3.25844334 NA NA
## BLUE.CRAB NA 0.91437873 NA NA
## BLACK.DRUM NA 2.76084054 NA NA
## STRIPED.BURRFISH NA NA NA NA
## PINFISH NA 2.93009445 NA NA
## SNAKEFISH NA 2.85928493 NA NA
## RED.CORNETFISH NA NA NA NA
## FRECKLED.STARGAZER NA NA NA NA
## STRIPED.CUSK.EEL NA 3.24334015 NA NA
## SOUTHERN.EAGLE.RAY NA 2.36975908 NA NA
## RAY.AND.SKATE.UNCL NA NA NA NA
## BOX.CRAB.UNCL NA NA NA NA
## BOBTAIL.UNCL NA 2.23684037 3.2543581 NA
## ETROPUS.UNCL NA NA NA NA
## ATLANTIC.SURFCLAM NA 3.02356139 2.9715012 2.999996
## OCEAN.QUAHOG NA 3.07392299 2.8925135 3.078578
## SPOTTED.TINSELFISH NA NA NA NA
## HOOKEAR.SCULPIN.UNCL NA NA NA NA
## ATLANTIC.CUTLASSFISH NA NA 3.2784762 NA
## SPINY.SEAROBIN NA 2.51818061 NA NA
## STRIPED.ANCHOVY NA NA NA NA
## SHORTFIN.MAKO NA NA NA NA
## REDEYE.GAPER NA NA NA NA
## SEA.SCALLOP.CLAPPER NA 2.73346703 NA NA
## SPOONARM.OCTOPUS NA 2.36895347 NA NA
## SEA.BASS.UNCL NA 2.72573961 NA NA
## OCTOPUS.UNCL NA NA NA NA
## CANCER.CRAB.UNCL NA NA NA NA
## GLADIATOR.BOX.CRAB NA NA NA NA
## PUFFER.UNCL NA NA NA NA
## LONGSPINE.SCORPIONFISH NA 4.77048161 NA NA
## ROCK.SEA.BASS NA NA NA NA
## PLANEHEAD.FILEFISH NA NA NA NA
## BLACKTIP.SHARK NA NA NA NA
## BANDED.DRUM NA NA NA NA
## BLACKNOSE.SHARK NA -1.06185993 3.1005640 NA
## PALESPOTTED.EEL NA 3.31642314 NA NA
## RIDGED.SLIPPER.LOBSTER NA NA NA NA
## WHIFF.UNCL NA NA NA NA
## SOUTHERN.QUAHOG NA 3.09721342 NA NA
## AMERICAN.EEL NA NA NA NA
## SCALLOPED.HAMMERHEAD.SHARK NA 2.79049502 NA NA
## OCEAN.SUNFISH NA NA NA NA
## SILKY.SHARK NA NA 3.1468042 NA
## LEATHERBACK.SEATURTLE NA NA NA NA
## SPOON.NOSE.EEL.UNCL NA NA NA NA
## PORTUGUESE.SHARK NA 2.17897758 NA NA
## PIPEFISH.SEAHORSE.UNCL NA NA 0.2411193 NA
## BLOTCHED.CUSK.EEL NA NA NA NA
## SQUID..CUTTLEFISH..AND.OCTOPOD.UNCL NA NA NA NA
## ATLANTIC.SEASNAIL NA NA NA NA
## WENCHMAN NA NA NA NA
## BULLEYE NA NA 2.8846737 NA
## LIZARDFISH.UNCL NA NA NA NA
## SNAKE.MACKEREL NA NA NA NA
## TARPON NA NA NA NA
## COTTONMOUTH.JACK NA NA NA NA
## SPOTTED.SPOON.NOSE.EEL NA NA NA NA
## ATLANTIC.SURFCLAM.CLAPPER NA NA 4.7933418 NA
## BASKING.SHARK NA NA 2.1540358 NA
## SPINNER.SHARK NA NA 2.9914743 NA
## TIGER.SHARK NA NA 4.2898589 NA
## GREAT.HAMMERHEAD.SHARK NA NA -0.2990242 NA
## BIGEYE.THRESHER.SHARK NA NA NA NA
## SCULPIN.UNCL NA NA NA NA
## PORBEAGLE.SHARK NA NA NA NA
## GRAY.SEAL NA NA NA NA
## SMOOTH.HAMMERHEAD.SHARK NA NA NA NA
## KEMP.S.RIDLEY.SEATURTLE NA NA NA NA
## HARBOR.PORPOISE NA NA NA NA